Overview

Brought to you by YData

Dataset statistics

Number of variables	44
Number of observations	100000
Missing cells	44799
Missing cells (%)	1.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	33.6 MiB
Average record size in memory	352.0 B

Variable types

Numeric	20
Categorical	16
Text	5
DateTime	3

Alerts

`year` has constant value "2018"	Constant
`num_subjects` has constant value "1"	Constant
`Unnamed: 0` is highly overall correlated with `Unnamed: 0.1`	High correlation
`Unnamed: 0.1` is highly overall correlated with `Unnamed: 0`	High correlation
`avg_price_per_card` is highly overall correlated with `log_price` and 4 other fields	High correlation
`brand_encoded` is highly overall correlated with `grade_x_brand` and 1 other fields	High correlation
`card_number_len` is highly overall correlated with `card_number_numeric`	High correlation
`card_number_numeric` is highly overall correlated with `card_number_len`	High correlation
`days_between_sales` is highly overall correlated with `sale_count_per_card` and 1 other fields	High correlation
`days_since_release` is highly overall correlated with `is_holiday_season` and 1 other fields	High correlation
`grade` is highly overall correlated with `grade_is_high` and 1 other fields	High correlation
`grade_is_high` is highly overall correlated with `grade` and 1 other fields	High correlation
`grade_x_brand` is highly overall correlated with `brand_encoded` and 1 other fields	High correlation
`grade_x_year` is highly overall correlated with `grade` and 1 other fields	High correlation
`grading_company` is highly overall correlated with `grading_company_encoded` and 2 other fields	High correlation
`grading_company_encoded` is highly overall correlated with `grading_company` and 2 other fields	High correlation
`is_bgs` is highly overall correlated with `grading_company` and 2 other fields	High correlation
`is_holiday_season` is highly overall correlated with `days_since_release` and 1 other fields	High correlation
`is_outlier` is highly overall correlated with `log_price` and 1 other fields	High correlation
`is_prizm` is highly overall correlated with `brand_encoded` and 3 other fields	High correlation
`is_psa` is highly overall correlated with `grading_company` and 2 other fields	High correlation
`is_silver` is highly overall correlated with `is_prizm` and 1 other fields	High correlation
`is_trending_down` is highly overall correlated with `is_trending_up` and 1 other fields	High correlation
`is_trending_up` is highly overall correlated with `is_trending_down` and 1 other fields	High correlation
`log_price` is highly overall correlated with `avg_price_per_card` and 4 other fields	High correlation
`month_sold` is highly overall correlated with `is_holiday_season`	High correlation
`price` is highly overall correlated with `avg_price_per_card` and 3 other fields	High correlation
`price_tier` is highly overall correlated with `avg_price_per_card` and 4 other fields	High correlation
`sale_count_per_card` is highly overall correlated with `days_between_sales`	High correlation
`std_price_per_card` is highly overall correlated with `avg_price_per_card` and 5 other fields	High correlation
`trend_score` is highly overall correlated with `avg_price_per_card` and 3 other fields	High correlation
`variety_encoded` is highly overall correlated with `is_prizm` and 1 other fields	High correlation
`year_sold` is highly overall correlated with `days_since_release`	High correlation
`grading_company` is highly imbalanced (63.4%)	Imbalance
`grading_company_encoded` is highly imbalanced (63.4%)	Imbalance
`is_gold` is highly imbalanced (88.9%)	Imbalance
`is_auto` is highly imbalanced (83.9%)	Imbalance
`grade_is_high` is highly imbalanced (74.3%)	Imbalance
`variety` has 44796 (44.8%) missing values	Missing
`price` is highly skewed (γ1 = 260.7736196)	Skewed
`card_number_numeric` is highly skewed (γ1 = 43.19944248)	Skewed
`avg_price_per_card` is highly skewed (γ1 = 266.6633808)	Skewed
`std_price_per_card` is highly skewed (γ1 = 83.23940342)	Skewed
`Unnamed: 0.1` is uniformly distributed	Uniform
`Unnamed: 0` is uniformly distributed	Uniform
`Unnamed: 0.1` has unique values	Unique
`Unnamed: 0` has unique values	Unique
`card_number_numeric` has 1430 (1.4%) zeros	Zeros
`price_tier` has 10553 (10.6%) zeros	Zeros
`std_price_per_card` has 7133 (7.1%) zeros	Zeros
`trend_score` has 7204 (7.2%) zeros	Zeros
`days_between_sales` has 7148 (7.1%) zeros	Zeros

Reproduction

Analysis started	2025-10-06 12:04:08.932113
Analysis finished	2025-10-06 12:05:54.297794
Duration	1 minute and 45.37 seconds
Software version	ydata-profiling vv4.17.0
Download configuration	config.json

Unnamed: 0.1
Real number (ℝ)

High correlation Uniform Unique

Distinct	100000
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	49999.5

Minimum	0
Maximum	99999
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	781.4 KiB

Quantile statistics

Minimum	0
5-th percentile	4999.95
Q1	24999.75
median	49999.5
Q3	74999.25
95-th percentile	94999.05
Maximum	99999
Range	99999
Interquartile range (IQR)	49999.5

Descriptive statistics

Standard deviation	28867.658
Coefficient of variation (CV)	0.57735893
Kurtosis	-1.2
Mean	49999.5
Median Absolute Deviation (MAD)	25000
Skewness	0
Sum	4.99995 × 10⁹
Variance	8.3334167 × 10⁸
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
99983	1	< 0.1%
99982	1	< 0.1%
99981	1	< 0.1%
99980	1	< 0.1%
99979	1	< 0.1%
99978	1	< 0.1%
99977	1	< 0.1%
99976	1	< 0.1%
99975	1	< 0.1%
99974	1	< 0.1%
Other values (99990)	99990	> 99.9%

Value	Count	Frequency (%)
0	1	< 0.1%
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
99999	1	< 0.1%
99998	1	< 0.1%
99997	1	< 0.1%
99996	1	< 0.1%
99995	1	< 0.1%
99994	1	< 0.1%
99993	1	< 0.1%
99992	1	< 0.1%
99991	1	< 0.1%
99990	1	< 0.1%

Unnamed: 0
Real number (ℝ)

High correlation Uniform Unique

Distinct	100000
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	49999.5

Minimum	0
Maximum	99999
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	781.4 KiB

Quantile statistics

Minimum	0
5-th percentile	4999.95
Q1	24999.75
median	49999.5
Q3	74999.25
95-th percentile	94999.05
Maximum	99999
Range	99999
Interquartile range (IQR)	49999.5

Descriptive statistics

Standard deviation	28867.658
Coefficient of variation (CV)	0.57735893
Kurtosis	-1.2
Mean	49999.5
Median Absolute Deviation (MAD)	25000
Skewness	0
Sum	4.99995 × 10⁹
Variance	8.3334167 × 10⁸
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
99983	1	< 0.1%
99982	1	< 0.1%
99981	1	< 0.1%
99980	1	< 0.1%
99979	1	< 0.1%
99978	1	< 0.1%
99977	1	< 0.1%
99976	1	< 0.1%
99975	1	< 0.1%
99974	1	< 0.1%
Other values (99990)	99990	> 99.9%

Value	Count	Frequency (%)
0	1	< 0.1%
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
99999	1	< 0.1%
99998	1	< 0.1%
99997	1	< 0.1%
99996	1	< 0.1%
99995	1	< 0.1%
99994	1	< 0.1%
99993	1	< 0.1%
99992	1	< 0.1%
99991	1	< 0.1%
99990	1	< 0.1%

year
Categorical

Constant

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.4 KiB

2018	100000

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	400000
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2018
2nd row	2018
3rd row	2018
4th row	2018
5th row	2018

Common Values

Value	Count	Frequency (%)
2018	100000	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2018	100000	100.0%

Most occurring characters

Value	Count	Frequency (%)
2	100000	25.0%
0	100000	25.0%
1	100000	25.0%
8	100000	25.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	400000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
2	100000	25.0%
0	100000	25.0%
1	100000	25.0%
8	100000	25.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	400000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
2	100000	25.0%
0	100000	25.0%
1	100000	25.0%
8	100000	25.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	400000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
2	100000	25.0%
0	100000	25.0%
1	100000	25.0%
8	100000	25.0%

subject
Text

Distinct	390
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	781.4 KiB

Length

Max length	169
Median length	61
Mean length	13.56453
Min length	4

Characters and Unicode

Total characters	1356453
Distinct characters	39
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	101 ?
Unique (%)	0.1%

Sample

1st row	deandre ayton
2nd row	luka doncic
3rd row	shai gilgeous-alexander
4th row	tim hardaway
5th row	lebron james

Value	Count	Frequency (%)
luka	24105	11.1%
doncic	24087	11.1%
young	14989	6.9%
trae	14970	6.9%
jr	12115	5.6%
james	6617	3.1%
michael	6364	2.9%
lebron	6356	2.9%
porter	6349	2.9%
gilgeous-alexander	6036	2.8%
Other values (621)	94931	43.8%

Most occurring characters

Value	Count	Frequency (%)
a	124912	9.2%
n	117642	8.7%
	116919	8.6%
e	116047	8.6%
o	101311	7.5%
r	89179	6.6%
i	82668	6.1%
l	73751	5.4%
c	66896	4.9%
u	53278	3.9%
Other values (29)	413850	30.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1356453	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	124912	9.2%
n	117642	8.7%
	116919	8.6%
e	116047	8.6%
o	101311	7.5%
r	89179	6.6%
i	82668	6.1%
l	73751	5.4%
c	66896	4.9%
u	53278	3.9%
Other values (29)	413850	30.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1356453	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	124912	9.2%
n	117642	8.7%
	116919	8.6%
e	116047	8.6%
o	101311	7.5%
r	89179	6.6%
i	82668	6.1%
l	73751	5.4%
c	66896	4.9%
u	53278	3.9%
Other values (29)	413850	30.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1356453	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	124912	9.2%
n	117642	8.7%
	116919	8.6%
e	116047	8.6%
o	101311	7.5%
r	89179	6.6%
i	82668	6.1%
l	73751	5.4%
c	66896	4.9%
u	53278	3.9%
Other values (29)	413850	30.5%

brand
Text

Distinct	460
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	781.4 KiB

Length

Max length	70
Median length	69
Mean length	16.91864
Min length	4

Characters and Unicode

Total characters	1691864
Distinct characters	42
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	95 ?
Unique (%)	0.1%

Sample

1st row	panini donruss optic
2nd row	panini prizm
3rd row	panini donruss optic
4th row	panini prizm fast break autographs
5th row	panini prizm get hyped!

Value	Count	Frequency (%)
panini	99375	39.5%
prizm	50973	20.3%
donruss	17682	7.0%
optic	13813	5.5%
select	6074	2.4%
chronicles	5452	2.2%
revolution	3876	1.5%
hoops	3514	1.4%
contenders	3201	1.3%
concourse	2961	1.2%
Other values (447)	44538	17.7%

Most occurring characters

Value	Count	Frequency (%)
i	292011	17.3%
n	251258	14.9%
p	174530	10.3%
	151459	9.0%
a	124861	7.4%
r	109588	6.5%
s	85768	5.1%
o	81379	4.8%
e	68697	4.1%
m	60026	3.5%
Other values (32)	292287	17.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1691864	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	292011	17.3%
n	251258	14.9%
p	174530	10.3%
	151459	9.0%
a	124861	7.4%
r	109588	6.5%
s	85768	5.1%
o	81379	4.8%
e	68697	4.1%
m	60026	3.5%
Other values (32)	292287	17.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1691864	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	292011	17.3%
n	251258	14.9%
p	174530	10.3%
	151459	9.0%
a	124861	7.4%
r	109588	6.5%
s	85768	5.1%
o	81379	4.8%
e	68697	4.1%
m	60026	3.5%
Other values (32)	292287	17.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1691864	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	292011	17.3%
n	251258	14.9%
p	174530	10.3%
	151459	9.0%
a	124861	7.4%
r	109588	6.5%
s	85768	5.1%
o	81379	4.8%
e	68697	4.1%
m	60026	3.5%
Other values (32)	292287	17.3%

variety
Text

Missing

Distinct	1767
Distinct (%)	3.2%
Missing	44796
Missing (%)	44.8%
Memory size	781.4 KiB

Length

Max length	59
Median length	46
Mean length	13.458626
Min length	3

Characters and Unicode

Total characters	742970
Distinct characters	46
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	716 ?
Unique (%)	1.3%

Sample

1st row	silver prizm
2nd row	shock
3rd row	gold prizm
4th row	pink ice prizm
5th row	gold

Value	Count	Frequency (%)
prizm	31261	24.5%
silver	13568	10.6%
red	6309	4.9%
blue	6092	4.8%
green	3644	2.9%
white	3537	2.8%
and	3264	2.6%
ice	3257	2.6%
pink	2979	2.3%
break	2973	2.3%
Other values (1097)	50774	39.8%

Most occurring characters

Value	Count	Frequency (%)
r	83027	11.2%
e	77335	10.4%
	72455	9.8%
i	71690	9.6%
p	46726	6.3%
m	37338	5.0%
l	36300	4.9%
z	33519	4.5%
s	32025	4.3%
a	29665	4.0%
Other values (36)	222890	30.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	742970	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
r	83027	11.2%
e	77335	10.4%
	72455	9.8%
i	71690	9.6%
p	46726	6.3%
m	37338	5.0%
l	36300	4.9%
z	33519	4.5%
s	32025	4.3%
a	29665	4.0%
Other values (36)	222890	30.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	742970	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
r	83027	11.2%
e	77335	10.4%
	72455	9.8%
i	71690	9.6%
p	46726	6.3%
m	37338	5.0%
l	36300	4.9%
z	33519	4.5%
s	32025	4.3%
a	29665	4.0%
Other values (36)	222890	30.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	742970	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
r	83027	11.2%
e	77335	10.4%
	72455	9.8%
i	71690	9.6%
p	46726	6.3%
m	37338	5.0%
l	36300	4.9%
z	33519	4.5%
s	32025	4.3%
a	29665	4.0%
Other values (36)	222890	30.0%

card_number
Text

Distinct	1122
Distinct (%)	1.1%
Missing	3
Missing (%)	< 0.1%
Memory size	781.4 KiB

Length

Max length	7
Median length	3
Mean length	2.4983049
Min length	1

Characters and Unicode

Total characters	249823
Distinct characters	36
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	448 ?
Unique (%)	0.4%

Sample

1st row	157
2nd row	280
3rd row	162
4th row	28
5th row	4

Value	Count	Frequency (%)
280	7422	7.4%
78	5464	5.5%
177	4810	4.8%
32	3056	3.1%
198	2828	2.8%
279	2743	2.7%
3	2487	2.5%
184	2371	2.4%
66	1918	1.9%
6	1797	1.8%
Other values (1112)	65101	65.1%

Most occurring characters

Value	Count	Frequency (%)
1	47940	19.2%
2	41964	16.8%
8	35255	14.1%
7	28215	11.3%
6	16920	6.8%
0	16768	6.7%
9	15393	6.2%
3	13970	5.6%
5	13747	5.5%
4	13239	5.3%
Other values (26)	6412	2.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	249823	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	47940	19.2%
2	41964	16.8%
8	35255	14.1%
7	28215	11.3%
6	16920	6.8%
0	16768	6.7%
9	15393	6.2%
3	13970	5.6%
5	13747	5.5%
4	13239	5.3%
Other values (26)	6412	2.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	249823	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	47940	19.2%
2	41964	16.8%
8	35255	14.1%
7	28215	11.3%
6	16920	6.8%
0	16768	6.7%
9	15393	6.2%
3	13970	5.6%
5	13747	5.5%
4	13239	5.3%
Other values (26)	6412	2.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	249823	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	47940	19.2%
2	41964	16.8%
8	35255	14.1%
7	28215	11.3%
6	16920	6.8%
0	16768	6.7%
9	15393	6.2%
3	13970	5.6%
5	13747	5.5%
4	13239	5.3%
Other values (26)	6412	2.6%

date
Date

Distinct	1168
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Memory size	781.4 KiB

Minimum	2018-05-16 00:00:00
Maximum	2022-02-17 00:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

price
Real number (ℝ)

High correlation Skewed

Distinct	11081
Distinct (%)	11.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	459.60025

Minimum	0.99
Maximum	4006600
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	781.4 KiB

Quantile statistics

Minimum	0.99
5-th percentile	13
Q1	39.99
median	95
Q3	250
95-th percentile	1313.044
Maximum	4006600
Range	4006599
Interquartile range (IQR)	210.01

Descriptive statistics

Standard deviation	13625.364
Coefficient of variation (CV)	29.646119
Kurtosis	75159.22
Mean	459.60025
Median Absolute Deviation (MAD)	69
Skewness	260.77362
Sum	45960025
Variance	1.8565055 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
100	1031	1.0%
50	1006	1.0%
40	938	0.9%
30	853	0.9%
35	783	0.8%
45	771	0.8%
75	763	0.8%
60	733	0.7%
26	729	0.7%
150	701	0.7%
Other values (11071)	91692	91.7%

Value	Count	Frequency (%)
0.99	5	< 0.1%
1	1	< 0.1%
1.04	1	< 0.1%
1.25	15	< 0.1%
1.29	3	< 0.1%
1.3	1	< 0.1%
1.5	1	< 0.1%
1.7	1	< 0.1%
1.72	1	< 0.1%
1.74	2	< 0.1%

Value	Count	Frequency (%)
4006600	1	< 0.1%
1038780	1	< 0.1%
645750	1	< 0.1%
571687.2	1	< 0.1%
310000	1	< 0.1%
240000	1	< 0.1%
204000	1	< 0.1%
198030	1	< 0.1%
150060	1	< 0.1%
148830	1	< 0.1%

grade
Real number (ℝ)

High correlation

Distinct	16
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9.505225

Minimum	0
Maximum	10.5
Zeros	35
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	781.4 KiB

Quantile statistics

Minimum	0
5-th percentile	9
Q1	9
median	10
Q3	10
95-th percentile	10
Maximum	10.5
Range	10.5
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.60858763
Coefficient of variation (CV)	0.064026641
Kurtosis	23.783401
Mean	9.505225
Median Absolute Deviation (MAD)	0
Skewness	-2.4403791
Sum	950522.5
Variance	0.3703789
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
10	51306	51.3%
9	36324	36.3%
9.5	7999	8.0%
8	2835	2.8%
8.5	962	1.0%
7	277	0.3%
6	115	0.1%
7.5	51	0.1%
5	45	< 0.1%
10.5	39	< 0.1%
Other values (6)	47	< 0.1%

Value	Count	Frequency (%)
0	35	< 0.1%
1	1	< 0.1%
3	1	< 0.1%
4	6	< 0.1%
5	45	< 0.1%
5.5	1	< 0.1%
6	115	0.1%
6.5	3	< 0.1%
7	277	0.3%
7.5	51	0.1%

Value	Count	Frequency (%)
10.5	39	< 0.1%
10	51306	51.3%
9.5	7999	8.0%
9	36324	36.3%
8.5	962	1.0%
8	2835	2.8%
7.5	51	0.1%
7	277	0.3%
6.5	3	< 0.1%
6	115	0.1%

grading_company
Categorical

High correlation Imbalance

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.4 KiB

psa	86729
bgs	13054
sgc	217

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	300000
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	psa
2nd row	psa
3rd row	psa
4th row	bgs
5th row	psa

Common Values

Value	Count	Frequency (%)
psa	86729	86.7%
bgs	13054	13.1%
sgc	217	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
psa	86729	86.7%
bgs	13054	13.1%
sgc	217	0.2%

Most occurring characters

Value	Count	Frequency (%)
s	100000	33.3%
p	86729	28.9%
a	86729	28.9%
g	13271	4.4%
b	13054	4.4%
c	217	0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	300000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
s	100000	33.3%
p	86729	28.9%
a	86729	28.9%
g	13271	4.4%
b	13054	4.4%
c	217	0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	300000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
s	100000	33.3%
p	86729	28.9%
a	86729	28.9%
g	13271	4.4%
b	13054	4.4%
c	217	0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	300000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
s	100000	33.3%
p	86729	28.9%
a	86729	28.9%
g	13271	4.4%
b	13054	4.4%
c	217	0.1%

card_id
Text

Distinct	13270
Distinct (%)	13.3%
Missing	0
Missing (%)	0.0%
Memory size	781.4 KiB

Length

Max length	229
Median length	109
Mean length	44.75507
Min length	26

Characters and Unicode

Total characters	4475507
Distinct characters	48
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7073 ?
Unique (%)	7.1%

Sample

1st row	deandre ayton_panini donruss optic_nan_157
2nd row	luka doncic_panini prizm_silver prizm_280
3rd row	shai gilgeous-alexander_panini donruss optic_shock_162
4th row	tim hardaway_panini prizm fast break autographs_gold prizm_28
5th row	lebron james_panini prizm get hyped!_nan_4

Value	Count	Frequency (%)
luka	24105	5.5%
doncic_panini	24014	5.4%
trae	14970	3.4%
young_panini	14924	3.4%
donruss	13112	3.0%
jr._panini	12045	2.7%
prizm_silver	9943	2.3%
prizm	7053	1.6%
michael	6364	1.4%
lebron	6356	1.4%
Other values (10714)	307946	69.9%

Most occurring characters

Value	Count	Frequency (%)
n	480102	10.7%
i	446496	10.0%
	340833	7.6%
a	324619	7.3%
_	300000	6.7%
r	282181	6.3%
e	262128	5.9%
p	232432	5.2%
o	212199	4.7%
s	159898	3.6%
Other values (38)	1434619	32.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	4475507	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	480102	10.7%
i	446496	10.0%
	340833	7.6%
a	324619	7.3%
_	300000	6.7%
r	282181	6.3%
e	262128	5.9%
p	232432	5.2%
o	212199	4.7%
s	159898	3.6%
Other values (38)	1434619	32.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	4475507	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	480102	10.7%
i	446496	10.0%
	340833	7.6%
a	324619	7.3%
_	300000	6.7%
r	282181	6.3%
e	262128	5.9%
p	232432	5.2%
o	212199	4.7%
s	159898	3.6%
Other values (38)	1434619	32.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	4475507	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	480102	10.7%
i	446496	10.0%
	340833	7.6%
a	324619	7.3%
_	300000	6.7%
r	282181	6.3%
e	262128	5.9%
p	232432	5.2%
o	212199	4.7%
s	159898	3.6%
Other values (38)	1434619	32.1%

year_sold
Categorical

High correlation

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.4 KiB

2021	54945
2020	28734
2019	9572
2022	6679
2018	70

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	400000
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2021
2nd row	2019
3rd row	2021
4th row	2019
5th row	2020

Common Values

Value	Count	Frequency (%)
2021	54945	54.9%
2020	28734	28.7%
2019	9572	9.6%
2022	6679	6.7%
2018	70	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2021	54945	54.9%
2020	28734	28.7%
2019	9572	9.6%
2022	6679	6.7%
2018	70	0.1%

Most occurring characters

Value	Count	Frequency (%)
2	197037	49.3%
0	128734	32.2%
1	64587	16.1%
9	9572	2.4%
8	70	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	400000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
2	197037	49.3%
0	128734	32.2%
1	64587	16.1%
9	9572	2.4%
8	70	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	400000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
2	197037	49.3%
0	128734	32.2%
1	64587	16.1%
9	9572	2.4%
8	70	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	400000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
2	197037	49.3%
0	128734	32.2%
1	64587	16.1%
9	9572	2.4%
8	70	< 0.1%

month_sold
Real number (ℝ)

High correlation

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.46836

Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	781.4 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	7
Q3	9
95-th percentile	12
Maximum	12
Range	11
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	3.5727953
Coefficient of variation (CV)	0.55234949
Kurtosis	-1.2156892
Mean	6.46836
Median Absolute Deviation (MAD)	3
Skewness	-0.0029549313
Sum	646836
Variance	12.764867
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
1	11169	11.2%
12	10698	10.7%
8	9887	9.9%
6	8930	8.9%
7	8289	8.3%
2	8032	8.0%
11	7512	7.5%
5	7490	7.5%
4	7218	7.2%
9	7113	7.1%
Other values (2)	13662	13.7%

Value	Count	Frequency (%)
1	11169	11.2%
2	8032	8.0%
3	7009	7.0%
4	7218	7.2%
5	7490	7.5%
6	8930	8.9%
7	8289	8.3%
8	9887	9.9%
9	7113	7.1%
10	6653	6.7%

Value	Count	Frequency (%)
12	10698	10.7%
11	7512	7.5%
10	6653	6.7%
9	7113	7.1%
8	9887	9.9%
7	8289	8.3%
6	8930	8.9%
5	7490	7.5%
4	7218	7.2%
3	7009	7.0%

day_sold
Real number (ℝ)

Distinct	31
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.86622

Minimum	1
Maximum	31
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	781.4 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	8
median	16
Q3	23
95-th percentile	30
Maximum	31
Range	30
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	8.7866032
Coefficient of variation (CV)	0.5537931
Kurtosis	-1.1882557
Mean	15.86622
Median Absolute Deviation (MAD)	8
Skewness	-0.012152482
Sum	1586622
Variance	77.204395
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
22	3761	3.8%
24	3561	3.6%
17	3541	3.5%
23	3528	3.5%
21	3505	3.5%
9	3485	3.5%
20	3468	3.5%
11	3436	3.4%
6	3433	3.4%
7	3361	3.4%
Other values (21)	64921	64.9%

Value	Count	Frequency (%)
1	3239	3.2%
2	3169	3.2%
3	3248	3.2%
4	2988	3.0%
5	3047	3.0%
6	3433	3.4%
7	3361	3.4%
8	3168	3.2%
9	3485	3.5%
10	3312	3.3%

Value	Count	Frequency (%)
31	2244	2.2%
30	3080	3.1%
29	2821	2.8%
28	3308	3.3%
27	3222	3.2%
26	2992	3.0%
25	3255	3.3%
24	3561	3.6%
23	3528	3.5%
22	3761	3.8%

days_since_release
Real number (ℝ)

High correlation

Distinct	1168
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1125.1734

Minimum	135
Maximum	1508
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	781.4 KiB

Quantile statistics

Minimum	135
5-th percentile	605
Q1	951
median	1168
Q3	1331
95-th percentile	1473
Maximum	1508
Range	1373
Interquartile range (IQR)	380

Descriptive statistics

Standard deviation	260.51872
Coefficient of variation (CV)	0.23153651
Kurtosis	-0.21920499
Mean	1125.1734
Median Absolute Deviation (MAD)	194
Skewness	-0.67056557
Sum	1.1251734 × 10⁸
Variance	67870.001
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1176	389	0.4%
1148	388	0.4%
1115	387	0.4%
1267	386	0.4%
1206	345	0.3%
1237	328	0.3%
1393	325	0.3%
1087	320	0.3%
1414	303	0.3%
1392	296	0.3%
Other values (1158)	96533	96.5%

Value	Count	Frequency (%)
135	1	< 0.1%
196	1	< 0.1%
205	1	< 0.1%
219	1	< 0.1%
225	2	< 0.1%
236	1	< 0.1%
253	1	< 0.1%
261	1	< 0.1%
265	1	< 0.1%
267	2	< 0.1%

Value	Count	Frequency (%)
1508	8	< 0.1%
1507	6	< 0.1%
1506	6	< 0.1%
1505	5	< 0.1%
1504	30	< 0.1%
1503	5	< 0.1%
1502	72	0.1%
1501	218	0.2%
1500	181	0.2%
1499	194	0.2%

is_holiday_season
Categorical

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.4 KiB

0	81790
1	18210

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	100000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	81790	81.8%
1	18210	18.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	81790	81.8%
1	18210	18.2%

Most occurring characters

Value	Count	Frequency (%)
0	81790	81.8%
1	18210	18.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	81790	81.8%
1	18210	18.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	81790	81.8%
1	18210	18.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	81790	81.8%
1	18210	18.2%

brand_encoded
Real number (ℝ)

High correlation

Distinct	460
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	288.54966

Minimum	0
Maximum	459
Zeros	27
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	781.4 KiB

Quantile statistics

Minimum	0
5-th percentile	59
Q1	171
median	354
Q3	354
95-th percentile	391
Maximum	459
Range	459
Interquartile range (IQR)	183

Descriptive statistics

Standard deviation	110.23799
Coefficient of variation (CV)	0.38204165
Kurtosis	-0.61841724
Mean	288.54966
Median Absolute Deviation (MAD)	15
Skewness	-0.91366609
Sum	28854966
Variance	12152.414
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
354	43955	44.0%
171	11066	11.1%
59	5341	5.3%
156	4558	4.6%
375	3636	3.6%
234	3085	3.1%
385	2961	3.0%
391	1629	1.6%
412	1616	1.6%
202	1341	1.3%
Other values (450)	20812	20.8%

Value	Count	Frequency (%)
0	27	< 0.1%
1	4	< 0.1%
2	5	< 0.1%
3	1	< 0.1%
4	2	< 0.1%
5	2	< 0.1%
6	2	< 0.1%
7	25	< 0.1%
8	4	< 0.1%
9	3	< 0.1%

Value	Count	Frequency (%)
459	1	< 0.1%
458	1	< 0.1%
457	1	< 0.1%
456	1	< 0.1%
455	28	< 0.1%
454	4	< 0.1%
453	1	< 0.1%
452	3	< 0.1%
451	6	< 0.1%
450	1	< 0.1%

variety_encoded
Real number (ℝ)

High correlation

Distinct	1768
Distinct (%)	1.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	999.38766

Minimum	0
Maximum	1767
Zeros	2
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	781.4 KiB

Quantile statistics

Minimum	0
5-th percentile	227
Q1	974
median	974
Q3	1189
95-th percentile	1517
Maximum	1767
Range	1767
Interquartile range (IQR)	215

Descriptive statistics

Standard deviation	364.16006
Coefficient of variation (CV)	0.36438318
Kurtosis	0.12833935
Mean	999.38766
Median Absolute Deviation (MAD)	115
Skewness	-0.37624722
Sum	99938766
Variance	132612.55
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
974	44796	44.8%
1517	12068	12.1%
1192	3136	3.1%
1475	2149	2.1%
625	2061	2.1%
1087	1571	1.6%
684	1349	1.3%
1432	903	0.9%
1176	853	0.9%
396	808	0.8%
Other values (1758)	30306	30.3%

Value	Count	Frequency (%)
0	2	< 0.1%
1	3	< 0.1%
2	2	< 0.1%
3	2	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	2	< 0.1%
7	1	< 0.1%
8	5	< 0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
1767	351	0.4%
1766	1	< 0.1%
1765	3	< 0.1%
1764	2	< 0.1%
1763	2	< 0.1%
1762	1	< 0.1%
1761	1	< 0.1%
1760	54	0.1%
1759	21	< 0.1%
1758	1	< 0.1%

grading_company_encoded
Categorical

High correlation Imbalance

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.4 KiB

1	86729
0	13054
2	217

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	100000
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
1	86729	86.7%
0	13054	13.1%
2	217	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	86729	86.7%
0	13054	13.1%
2	217	0.2%

Most occurring characters

Value	Count	Frequency (%)
1	86729	86.7%
0	13054	13.1%
2	217	0.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	86729	86.7%
0	13054	13.1%
2	217	0.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	86729	86.7%
0	13054	13.1%
2	217	0.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	86729	86.7%
0	13054	13.1%
2	217	0.2%

card_number_len
Real number (ℝ)

High correlation

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.49832

Minimum	1
Maximum	7
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	781.4 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	3
Q3	3
95-th percentile	3
Maximum	7
Range	6
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.70282439
Coefficient of variation (CV)	0.2813188
Kurtosis	0.71325603
Mean	2.49832
Median Absolute Deviation (MAD)	0
Skewness	-0.48177012
Sum	249832
Variance	0.49396212
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
3	57222	57.2%
2	32118	32.1%
1	9813	9.8%
5	578	0.6%
4	195	0.2%
6	71	0.1%
7	3	< 0.1%

Value	Count	Frequency (%)
1	9813	9.8%
2	32118	32.1%
3	57222	57.2%
4	195	0.2%
5	578	0.6%
6	71	0.1%
7	3	< 0.1%

Value	Count	Frequency (%)
7	3	< 0.1%
6	71	0.1%
5	578	0.6%
4	195	0.2%
3	57222	57.2%
2	32118	32.1%
1	9813	9.8%

card_number_numeric
Real number (ℝ)

High correlation Skewed Zeros

Distinct	443
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	141.45751

Minimum	0
Maximum	18033
Zeros	1430
Zeros (%)	1.4%
Negative	0
Negative (%)	0.0%
Memory size	781.4 KiB

Quantile statistics

Minimum	0
5-th percentile	3
Q1	40
median	134
Q3	201
95-th percentile	288
Maximum	18033
Range	18033
Interquartile range (IQR)	161

Descriptive statistics

Standard deviation	139.0387
Coefficient of variation (CV)	0.98290078
Kurtosis	5482.3125
Mean	141.45751
Median Absolute Deviation (MAD)	88
Skewness	43.199442
Sum	14145751
Variance	19331.759
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
280	7422	7.4%
78	5464	5.5%
177	4810	4.8%
32	3056	3.1%
198	2828	2.8%
279	2743	2.7%
3	2584	2.6%
184	2371	2.4%
66	1918	1.9%
6	1802	1.8%
Other values (433)	65002	65.0%

Value	Count	Frequency (%)
0	1430	1.4%
1	838	0.8%
2	975	1.0%
3	2584	2.6%
4	867	0.9%
5	1371	1.4%
6	1802	1.8%
7	508	0.5%
8	498	0.5%
9	628	0.6%

Value	Count	Frequency (%)
18033	1	< 0.1%
18031	1	< 0.1%
697	7	< 0.1%
693	10	< 0.1%
691	2	< 0.1%
681	86	0.1%
675	6	< 0.1%
673	36	< 0.1%
671	3	< 0.1%
667	1	< 0.1%

num_subjects
Categorical

Constant

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.4 KiB

1	100000

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	100000
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	100000	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	100000	100.0%

Most occurring characters

Value	Count	Frequency (%)
1	100000	100.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	100000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	100000	100.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	100000	100.0%

is_gold
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.4 KiB

0	98517
1	1483

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	100000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	98517	98.5%
1	1483	1.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	98517	98.5%
1	1483	1.5%

Most occurring characters

Value	Count	Frequency (%)
0	98517	98.5%
1	1483	1.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	98517	98.5%
1	1483	1.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	98517	98.5%
1	1483	1.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	98517	98.5%
1	1483	1.5%

is_silver
Categorical

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.4 KiB

0	86397
1	13603

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	100000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	86397	86.4%
1	13603	13.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	86397	86.4%
1	13603	13.6%

Most occurring characters

Value	Count	Frequency (%)
0	86397	86.4%
1	13603	13.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	86397	86.4%
1	13603	13.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	86397	86.4%
1	13603	13.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	86397	86.4%
1	13603	13.6%

is_prizm
Categorical

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.4 KiB

0	68692
1	31308

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	100000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	68692	68.7%
1	31308	31.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	68692	68.7%
1	31308	31.3%

Most occurring characters

Value	Count	Frequency (%)
0	68692	68.7%
1	31308	31.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	68692	68.7%
1	31308	31.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	68692	68.7%
1	31308	31.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	68692	68.7%
1	31308	31.3%

is_auto
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.4 KiB

0	97651
1	2349

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	100000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	97651	97.7%
1	2349	2.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	97651	97.7%
1	2349	2.3%

Most occurring characters

Value	Count	Frequency (%)
0	97651	97.7%
1	2349	2.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	97651	97.7%
1	2349	2.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	97651	97.7%
1	2349	2.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	97651	97.7%
1	2349	2.3%

is_psa
Categorical

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.4 KiB

1	86729
0	13271

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	100000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
1	86729	86.7%
0	13271	13.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	86729	86.7%
0	13271	13.3%

Most occurring characters

Value	Count	Frequency (%)
1	86729	86.7%
0	13271	13.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	86729	86.7%
0	13271	13.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	86729	86.7%
0	13271	13.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	86729	86.7%
0	13271	13.3%

is_bgs
Categorical

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.4 KiB

0	86946
1	13054

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	100000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	86946	86.9%
1	13054	13.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	86946	86.9%
1	13054	13.1%

Most occurring characters

Value	Count	Frequency (%)
0	86946	86.9%
1	13054	13.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	86946	86.9%
1	13054	13.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	86946	86.9%
1	13054	13.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	86946	86.9%
1	13054	13.1%

grade_is_high
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.4 KiB

1	95668
0	4332

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	100000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	95668	95.7%
0	4332	4.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	95668	95.7%
0	4332	4.3%

Most occurring characters

Value	Count	Frequency (%)
1	95668	95.7%
0	4332	4.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	95668	95.7%
0	4332	4.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	95668	95.7%
0	4332	4.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	95668	95.7%
0	4332	4.3%

grade_x_brand
Real number (ℝ)

High correlation

Distinct	1116
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2750.0158

Minimum	0
Maximum	4580
Zeros	62
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	781.4 KiB

Quantile statistics

Minimum	0
5-th percentile	590
Q1	1710
median	3186
Q3	3540
95-th percentile	3850
Maximum	4580
Range	4580
Interquartile range (IQR)	1830

Descriptive statistics

Standard deviation	1076.7088
Coefficient of variation (CV)	0.39152823
Kurtosis	-0.70404991
Mean	2750.0158
Median Absolute Deviation (MAD)	354
Skewness	-0.83162293
Sum	2.7500158 × 10⁸
Variance	1159301.9
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3540	24351	24.4%
3186	15880	15.9%
1539	5407	5.4%
1710	4398	4.4%
1560	2730	2.7%
590	2594	2.6%
3363	2511	2.5%
3750	2491	2.5%
531	2130	2.1%
2340	1688	1.7%
Other values (1106)	35820	35.8%

Value	Count	Frequency (%)
0	62	0.1%
9.5	1	< 0.1%
10	3	< 0.1%
17	1	< 0.1%
19	2	< 0.1%
20	2	< 0.1%
30	1	< 0.1%
38	2	< 0.1%
42.5	1	< 0.1%
45	1	< 0.1%

Value	Count	Frequency (%)
4580	1	< 0.1%
4550	14	< 0.1%
4540	1	< 0.1%
4530	1	< 0.1%
4520	1	< 0.1%
4480	4	< 0.1%
4470	6	< 0.1%
4460	4	< 0.1%
4440	6	< 0.1%
4410	38	< 0.1%

grade_x_year
Real number (ℝ)

High correlation

Distinct	16
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	19181.544

Minimum	0
Maximum	21189
Zeros	35
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	781.4 KiB

Quantile statistics

Minimum	0
5-th percentile	18162
Q1	18162
median	20180
Q3	20180
95-th percentile	20180
Maximum	21189
Range	21189
Interquartile range (IQR)	2018

Descriptive statistics

Standard deviation	1228.1298
Coefficient of variation (CV)	0.064026641
Kurtosis	23.783401
Mean	19181.544
Median Absolute Deviation (MAD)	0
Skewness	-2.4403791
Sum	1.9181544 × 10⁹
Variance	1508302.9
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
20180	51306	51.3%
18162	36324	36.3%
19171	7999	8.0%
16144	2835	2.8%
17153	962	1.0%
14126	277	0.3%
12108	115	0.1%
15135	51	0.1%
10090	45	< 0.1%
21189	39	< 0.1%
Other values (6)	47	< 0.1%

Value	Count	Frequency (%)
0	35	< 0.1%
2018	1	< 0.1%
6054	1	< 0.1%
8072	6	< 0.1%
10090	45	< 0.1%
11099	1	< 0.1%
12108	115	0.1%
13117	3	< 0.1%
14126	277	0.3%
15135	51	0.1%

Value	Count	Frequency (%)
21189	39	< 0.1%
20180	51306	51.3%
19171	7999	8.0%
18162	36324	36.3%
17153	962	1.0%
16144	2835	2.8%
15135	51	0.1%
14126	277	0.3%
13117	3	< 0.1%
12108	115	0.1%

log_price
Real number (ℝ)

High correlation

Distinct	11081
Distinct (%)	11.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.6783898

Minimum	0.68813464
Maximum	15.203454
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	781.4 KiB

Quantile statistics

Minimum	0.68813464
5-th percentile	2.6390573
Q1	3.7133281
median	4.5643482
Q3	5.5254529
95-th percentile	7.1808647
Maximum	15.203454
Range	14.515319
Interquartile range (IQR)	1.8121248

Descriptive statistics

Standard deviation	1.3843801
Coefficient of variation (CV)	0.29590951
Kurtosis	0.62372084
Mean	4.6783898
Median Absolute Deviation (MAD)	0.90104299
Skewness	0.56492652
Sum	467838.98
Variance	1.9165081
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4.615120517	1031	1.0%
3.931825633	1006	1.0%
3.713572067	938	0.9%
3.433987204	853	0.9%
3.583518938	783	0.8%
3.828641396	771	0.8%
4.33073334	763	0.8%
4.110873864	733	0.7%
3.295836866	729	0.7%
5.017279837	701	0.7%
Other values (11071)	91692	91.7%

Value	Count	Frequency (%)
0.6881346387	5	< 0.1%
0.6931471806	1	< 0.1%
0.7129498079	1	< 0.1%
0.8109302162	15	< 0.1%
0.8285518176	3	< 0.1%
0.8329091229	1	< 0.1%
0.9162907319	1	< 0.1%
0.993251773	1	< 0.1%
1.00063188	1	< 0.1%
1.00795792	2	< 0.1%

Value	Count	Frequency (%)
15.20345381	1	< 0.1%
13.85355847	1	< 0.1%
13.37816926	1	< 0.1%
13.25634902	1	< 0.1%
12.6443308	1	< 0.1%
12.38839837	1	< 0.1%
12.22588017	1	< 0.1%
12.19617886	1	< 0.1%
11.91879716	1	< 0.1%
11.91056671	1	< 0.1%

is_outlier
Categorical

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.4 KiB

0	88558
1	11442

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	100000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	88558	88.6%
1	11442	11.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	88558	88.6%
1	11442	11.4%

Most occurring characters

Value	Count	Frequency (%)
0	88558	88.6%
1	11442	11.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	88558	88.6%
1	11442	11.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	88558	88.6%
1	11442	11.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	88558	88.6%
1	11442	11.4%

price_tier
Real number (ℝ)

High correlation Zeros

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.48214

Minimum	0
Maximum	9
Zeros	10553
Zeros (%)	10.6%
Negative	0
Negative (%)	0.0%
Memory size	781.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	4
Q3	7
95-th percentile	9
Maximum	9
Range	9
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	2.878469
Coefficient of variation (CV)	0.64220864
Kurtosis	-1.2182757
Mean	4.48214
Median Absolute Deviation (MAD)	2
Skewness	0.0020205324
Sum	448214
Variance	8.2855839
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
0	10553	10.6%
6	10310	10.3%
4	10275	10.3%
9	10000	10.0%
2	9998	10.0%
8	9980	10.0%
5	9889	9.9%
3	9851	9.9%
1	9598	9.6%
7	9546	9.5%

Value	Count	Frequency (%)
0	10553	10.6%
1	9598	9.6%
2	9998	10.0%
3	9851	9.9%
4	10275	10.3%
5	9889	9.9%
6	10310	10.3%
7	9546	9.5%
8	9980	10.0%
9	10000	10.0%

Value	Count	Frequency (%)
9	10000	10.0%
8	9980	10.0%
7	9546	9.5%
6	10310	10.3%
5	9889	9.9%
4	10275	10.3%
3	9851	9.9%
2	9998	10.0%
1	9598	9.6%
0	10553	10.6%

sale_count_per_card
Real number (ℝ)

High correlation

Distinct	204
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	587.41312

Minimum	1
Maximum	4647
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	781.4 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	10
median	92
Q3	623
95-th percentile	3156
Maximum	4647
Range	4646
Interquartile range (IQR)	613

Descriptive statistics

Standard deviation	1113.4777
Coefficient of variation (CV)	1.8955614
Kurtosis	6.185903
Mean	587.41312
Median Absolute Deviation (MAD)	90
Skewness	2.612629
Sum	58741312
Variance	1239832.5
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	7073	7.1%
4647	4647	4.6%
2	4348	4.3%
3156	3156	3.2%
3	3069	3.1%
4	2384	2.4%
5	1865	1.9%
1798	1798	1.8%
6	1746	1.7%
8	1576	1.6%
Other values (194)	68338	68.3%

Value	Count	Frequency (%)
1	7073	7.1%
2	4348	4.3%
3	3069	3.1%
4	2384	2.4%
5	1865	1.9%
6	1746	1.7%
7	1568	1.6%
8	1576	1.6%
9	1269	1.3%
10	1170	1.2%

Value	Count	Frequency (%)
4647	4647	4.6%
3156	3156	3.2%
1798	1798	1.8%
1537	1537	1.5%
1453	1453	1.5%
1268	1268	1.3%
1258	1258	1.3%
1157	1157	1.2%
1106	1106	1.1%
929	929	0.9%

avg_price_per_card
Real number (ℝ)

High correlation Skewed

Distinct	7134
Distinct (%)	7.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	459.60025

Minimum	0.99
Maximum	4006600
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	781.4 KiB

Quantile statistics

Minimum	0.99
5-th percentile	23.406111
Q1	56.155455
median	118.11914
Q3	280.845
95-th percentile	1274.0186
Maximum	4006600
Range	4006599
Interquartile range (IQR)	224.68955

Descriptive statistics

Standard deviation	13503.248
Coefficient of variation (CV)	29.380418
Kurtosis	77782.578
Mean	459.60025
Median Absolute Deviation (MAD)	79.850339
Skewness	266.66338
Sum	45960025
Variance	1.823377 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
593.0129524	4647	4.6%
217.1875634	3156	3.2%
260.6799355	1798	1.8%
301.2999105	1537	1.5%
118.1191397	1453	1.5%
47.63710568	1268	1.3%
72.5340779	1258	1.3%
95.06250648	1157	1.2%
189.7515461	1106	1.1%
827.0827449	929	0.9%
Other values (7124)	81691	81.7%

Value	Count	Frequency (%)
0.99	2	< 0.1%
1.25	1	< 0.1%
1.5	1	< 0.1%
1.99	2	< 0.1%
2.01	1	< 0.1%
2.25	9	< 0.1%
2.26	1	< 0.1%
2.35	1	< 0.1%
2.49	1	< 0.1%
2.5	1	< 0.1%

Value	Count	Frequency (%)
4006600	1	< 0.1%
805233.6	2	< 0.1%
645750	1	< 0.1%
240000	1	< 0.1%
198030	1	< 0.1%
169000	2	< 0.1%
150060	1	< 0.1%
148830	1	< 0.1%
97200	1	< 0.1%
80612.25	4	< 0.1%

std_price_per_card
Real number (ℝ)

High correlation Skewed Zeros

Distinct	5411
Distinct (%)	5.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	311.4743

Minimum	0
Maximum	330284.49
Zeros	7133
Zeros (%)	7.1%
Negative	0
Negative (%)	0.0%
Memory size	781.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	31.974838
median	81.776752
Q3	225.42614
95-th percentile	976.03047
Maximum	330284.49
Range	330284.49
Interquartile range (IQR)	193.4513

Descriptive statistics

Standard deviation	2263.9921
Coefficient of variation (CV)	7.2686321
Kurtosis	10417.984
Mean	311.4743
Median Absolute Deviation (MAD)	59.722835
Skewness	83.239403
Sum	31147430
Variance	5125660.2
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	7133	7.1%
524.5021807	4647	4.6%
228.0385078	3156	3.2%
141.4995875	1798	1.8%
225.4261398	1537	1.5%
101.5899553	1453	1.5%
95.9910987	1268	1.3%
51.77692295	1258	1.3%
89.65976472	1157	1.2%
121.468323	1106	1.1%
Other values (5401)	75487	75.5%

Value	Count	Frequency (%)
0	7133	7.1%
0.007071067812	2	< 0.1%
0.01414213562	2	< 0.1%
0.09192388155	4	< 0.1%
0.148492424	2	< 0.1%
0.2404163056	2	< 0.1%
0.2705857843	6	< 0.1%
0.3181980515	2	< 0.1%
0.3535533906	14	< 0.1%
0.3606244584	2	< 0.1%

Value	Count	Frequency (%)
330284.4863	2	< 0.1%
199404.1123	2	< 0.1%
75268.73632	6	< 0.1%
75102.75511	3	< 0.1%
72856.22829	3	< 0.1%
62649.64667	2	< 0.1%
52321.62778	4	< 0.1%
45398.33048	10	< 0.1%
39654.77548	6	< 0.1%
35001.78567	2	< 0.1%

first_sale
Date

Distinct	1153
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Memory size	781.4 KiB

Minimum	2018-05-16 00:00:00
Maximum	2022-02-16 00:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

last_sale
Date

Distinct	1080
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Memory size	781.4 KiB

Minimum	2018-07-25 00:00:00
Maximum	2022-02-17 00:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

trend_score
Real number (ℝ)

High correlation Zeros

Distinct	4023
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.050324322

Minimum	-1
Maximum	1
Zeros	7204
Zeros (%)	7.2%
Negative	42093
Negative (%)	42.1%
Memory size	781.4 KiB

Quantile statistics

Minimum	-1
5-th percentile	-0.69141375
Q1	-0.33186703
median	0.029303299
Q3	0.45554031
95-th percentile	0.87255064
Maximum	1
Range	2
Interquartile range (IQR)	0.78740734

Descriptive statistics

Standard deviation	0.48238403
Coefficient of variation (CV)	9.5855047
Kurtosis	-0.67977668
Mean	0.050324322
Median Absolute Deviation (MAD)	0.36686916
Skewness	0.058623866
Sum	5032.4322
Variance	0.23269435
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	7204	7.2%
0.5387667362	4647	4.6%
0.03620059001	3156	3.2%
1	2225	2.2%
0.1432775301	1798	1.8%
-1	1769	1.8%
0.1321066242	1537	1.5%
-0.3481099938	1453	1.5%
-0.5073972795	1268	1.3%
-0.2184093936	1258	1.3%
Other values (4013)	73685	73.7%

Value	Count	Frequency (%)
-1	1769	1.8%
-1	104	0.1%
-1	2	< 0.1%
-0.9999369552	3	< 0.1%
-0.9999364404	3	< 0.1%
-0.9999256508	3	< 0.1%
-0.9999040729	3	< 0.1%
-0.9998906705	3	< 0.1%
-0.9997706174	3	< 0.1%
-0.9997629956	4	< 0.1%

Value	Count	Frequency (%)
1	2225	2.2%
1	142	0.1%
0.9999884885	3	< 0.1%
0.9999820588	3	< 0.1%
0.9999717922	3	< 0.1%
0.9999714921	3	< 0.1%
0.9999695251	3	< 0.1%
0.9999693111	3	< 0.1%
0.9999619431	3	< 0.1%
0.9999459778	3	< 0.1%

days_between_sales
Real number (ℝ)

High correlation Zeros

Distinct	1114
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	807.72082

Minimum	0
Maximum	1208
Zeros	7148
Zeros (%)	7.1%
Negative	0
Negative (%)	0.0%
Memory size	781.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	612
median	963
Q3	1098
95-th percentile	1164
Maximum	1208
Range	1208
Interquartile range (IQR)	486

Descriptive statistics

Standard deviation	355.61559
Coefficient of variation (CV)	0.44027043
Kurtosis	-0.036049161
Mean	807.72082
Median Absolute Deviation (MAD)	158
Skewness	-1.0622454
Sum	80772082
Variance	126462.45
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	7148	7.1%
1166	4647	4.6%
1112	3180	3.2%
1119	1856	1.9%
1138	1807	1.8%
1114	1769	1.8%
1097	1666	1.7%
1061	1579	1.6%
1122	1453	1.5%
1024	1382	1.4%
Other values (1104)	73513	73.5%

Value	Count	Frequency (%)
0	7148	7.1%
1	20	< 0.1%
2	8	< 0.1%
3	4	< 0.1%
4	14	< 0.1%
5	21	< 0.1%
6	25	< 0.1%
7	22	< 0.1%
8	18	< 0.1%
9	32	< 0.1%

Value	Count	Frequency (%)
1208	79	0.1%
1166	4647	4.6%
1164	647	0.6%
1157	25	< 0.1%
1153	919	0.9%
1150	9	< 0.1%
1141	86	0.1%
1140	318	0.3%
1138	1807	1.8%
1137	129	0.1%

is_trending_up
Categorical

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.4 KiB

1	50703
0	49297

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	100000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
1	50703	50.7%
0	49297	49.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	50703	50.7%
0	49297	49.3%

Most occurring characters

Value	Count	Frequency (%)
1	50703	50.7%
0	49297	49.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	50703	50.7%
0	49297	49.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	50703	50.7%
0	49297	49.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	50703	50.7%
0	49297	49.3%

is_trending_down
Categorical

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.4 KiB

0	57907
1	42093

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	100000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	1
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	57907	57.9%
1	42093	42.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	57907	57.9%
1	42093	42.1%

Most occurring characters

Value	Count	Frequency (%)
0	57907	57.9%
1	42093	42.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	57907	57.9%
1	42093	42.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	57907	57.9%
1	42093	42.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	57907	57.9%
1	42093	42.1%

Interactions

Correlations

	Unnamed: 0	Unnamed: 0.1	avg_price_per_card	brand_encoded	card_number_len	card_number_numeric	day_sold	days_between_sales	days_since_release	grade	grade_is_high	grade_x_brand	grade_x_year	grading_company	grading_company_encoded	is_auto	is_bgs	is_gold	is_holiday_season	is_outlier	is_prizm	is_psa	is_silver	is_trending_down	is_trending_up	log_price	month_sold	price	price_tier	sale_count_per_card	std_price_per_card	trend_score	variety_encoded	year_sold
Unnamed: 0	1.000	1.000	-0.002	-0.001	0.002	-0.000	0.003	-0.000	0.002	-0.003	0.014	-0.001	-0.003	0.000	0.000	0.006	0.000	0.005	0.008	0.003	0.010	0.000	0.003	0.002	0.000	-0.001	-0.002	-0.001	-0.001	0.003	-0.001	-0.006	-0.005	0.006
Unnamed: 0.1	1.000	1.000	-0.002	-0.001	0.002	-0.000	0.003	-0.000	0.002	-0.003	0.014	-0.001	-0.003	0.000	0.000	0.006	0.000	0.005	0.008	0.003	0.010	0.000	0.003	0.002	0.000	-0.001	-0.002	-0.001	-0.001	0.003	-0.001	-0.006	-0.005	0.006
avg_price_per_card	-0.002	-0.002	1.000	0.010	0.056	0.101	0.020	0.393	-0.240	-0.011	0.000	0.015	-0.011	0.008	0.008	0.035	0.013	0.025	0.000	0.017	0.002	0.013	0.000	0.000	0.003	0.820	-0.022	0.820	0.814	0.261	0.857	0.611	0.026	0.010
brand_encoded	-0.001	-0.001	0.010	1.000	-0.269	-0.231	-0.003	0.059	-0.010	0.113	0.101	0.893	0.113	0.204	0.204	0.240	0.287	0.133	0.011	0.121	0.522	0.287	0.322	0.159	0.171	-0.002	-0.002	-0.002	-0.002	0.012	0.066	0.063	0.070	0.079
card_number_len	0.002	0.002	0.056	-0.269	1.000	0.804	0.004	0.066	0.018	-0.054	0.063	-0.234	-0.054	0.129	0.129	0.143	0.061	0.066	0.020	0.049	0.107	0.063	0.081	0.093	0.059	0.043	0.007	0.043	0.044	0.109	0.051	-0.038	0.019	0.045
card_number_numeric	-0.000	-0.000	0.101	-0.231	0.804	1.000	0.002	0.255	-0.006	-0.005	0.000	-0.170	-0.005	0.011	0.011	0.000	0.008	0.000	0.000	0.000	0.000	0.007	0.000	0.000	0.000	0.068	0.005	0.068	0.069	0.294	0.159	-0.011	0.040	0.084
day_sold	0.003	0.003	0.020	-0.003	0.004	0.002	1.000	-0.001	-0.005	0.008	0.002	-0.000	0.008	0.019	0.019	0.008	0.021	0.008	0.041	0.020	0.000	0.019	0.000	0.006	0.006	0.015	0.002	0.015	0.015	-0.001	0.015	0.009	-0.008	0.056
days_between_sales	-0.000	-0.000	0.393	0.059	0.066	0.255	-0.001	1.000	-0.115	0.060	0.073	0.122	0.060	0.091	0.091	0.195	0.115	0.270	0.012	0.109	0.107	0.120	0.218	0.350	0.380	0.277	-0.020	0.277	0.276	0.856	0.571	0.250	0.181	0.068
days_since_release	0.002	0.002	-0.240	-0.010	0.018	-0.006	-0.005	-0.115	1.000	-0.104	0.060	-0.062	-0.104	0.167	0.167	0.056	0.219	0.058	0.560	0.115	0.160	0.213	0.104	0.247	0.235	-0.198	0.076	-0.198	-0.197	-0.003	-0.198	-0.264	-0.043	0.765
grade	-0.003	-0.003	-0.011	0.113	-0.054	-0.005	0.008	0.060	-0.104	1.000	0.880	0.460	1.000	0.039	0.039	0.062	0.050	0.009	0.000	0.140	0.088	0.052	0.055	0.038	0.052	0.264	0.001	0.264	0.263	0.036	-0.008	0.011	0.011	0.083
grade_is_high	0.014	0.014	0.000	0.101	0.063	0.000	0.002	0.073	0.060	0.880	1.000	0.350	0.880	0.066	0.066	0.066	0.063	0.009	0.000	0.024	0.066	0.065	0.041	0.006	0.022	0.147	0.009	0.000	0.143	0.013	0.000	0.047	0.044	0.057
grade_x_brand	-0.001	-0.001	0.015	0.893	-0.234	-0.170	-0.000	0.122	-0.062	0.460	0.350	1.000	0.460	0.154	0.154	0.236	0.216	0.075	0.009	0.147	0.517	0.216	0.313	0.142	0.168	0.104	-0.001	0.104	0.103	0.060	0.070	0.069	0.087	0.079
grade_x_year	-0.003	-0.003	-0.011	0.113	-0.054	-0.005	0.008	0.060	-0.104	1.000	0.880	0.460	1.000	0.039	0.039	0.062	0.050	0.009	0.000	0.140	0.088	0.052	0.055	0.038	0.052	0.264	0.001	0.264	0.263	0.036	-0.008	0.011	0.011	0.083
grading_company	0.000	0.000	0.008	0.204	0.129	0.011	0.019	0.091	0.167	0.039	0.066	0.154	0.039	1.000	1.000	0.125	1.000	0.116	0.026	0.152	0.010	1.000	0.029	0.179	0.127	0.135	0.071	0.007	0.126	0.070	0.023	0.189	0.099	0.184
grading_company_encoded	0.000	0.000	0.008	0.204	0.129	0.011	0.019	0.091	0.167	0.039	0.066	0.154	0.039	1.000	1.000	0.125	1.000	0.116	0.026	0.152	0.010	1.000	0.029	0.179	0.127	0.135	0.071	0.007	0.126	0.070	0.023	0.189	0.099	0.184
is_auto	0.006	0.006	0.035	0.240	0.143	0.000	0.008	0.195	0.056	0.062	0.066	0.236	0.062	0.125	0.125	1.000	0.123	0.074	0.002	0.127	0.094	0.125	0.052	0.087	0.004	0.167	0.008	0.032	0.138	0.098	0.056	0.205	0.353	0.050
is_bgs	0.000	0.000	0.013	0.287	0.061	0.008	0.021	0.115	0.219	0.050	0.063	0.216	0.050	1.000	1.000	0.123	1.000	0.116	0.019	0.152	0.010	0.991	0.028	0.178	0.126	0.190	0.044	0.011	0.178	0.099	0.033	0.265	0.139	0.202
is_gold	0.005	0.005	0.025	0.133	0.066	0.000	0.008	0.270	0.058	0.009	0.009	0.075	0.009	0.116	0.116	0.074	0.116	1.000	0.005	0.088	0.000	0.116	0.048	0.071	0.060	0.119	0.004	0.017	0.098	0.078	0.045	0.192	0.295	0.046
is_holiday_season	0.008	0.008	0.000	0.011	0.020	0.000	0.041	0.012	0.560	0.000	0.000	0.009	0.000	0.026	0.026	0.002	0.019	0.005	1.000	0.005	0.000	0.022	0.004	0.019	0.019	0.064	1.000	0.000	0.062	0.012	0.000	0.024	0.009	0.166
is_outlier	0.003	0.003	0.017	0.121	0.049	0.000	0.020	0.109	0.115	0.140	0.024	0.147	0.140	0.152	0.152	0.127	0.152	0.088	0.005	1.000	0.069	0.149	0.027	0.262	0.259	0.927	0.036	0.017	0.937	0.206	0.059	0.402	0.134	0.081
is_prizm	0.010	0.010	0.002	0.522	0.107	0.000	0.000	0.107	0.160	0.088	0.066	0.517	0.088	0.010	0.010	0.094	0.010	0.000	0.000	0.069	1.000	0.010	0.577	0.158	0.177	0.084	0.016	0.000	0.085	0.310	0.009	0.319	0.690	0.151
is_psa	0.000	0.000	0.013	0.287	0.063	0.007	0.019	0.120	0.213	0.052	0.065	0.216	0.052	1.000	1.000	0.125	0.991	0.116	0.022	0.149	0.010	1.000	0.029	0.179	0.124	0.186	0.044	0.011	0.173	0.098	0.033	0.263	0.139	0.196
is_silver	0.003	0.003	0.000	0.322	0.081	0.000	0.000	0.218	0.104	0.055	0.041	0.313	0.055	0.029	0.029	0.052	0.028	0.048	0.004	0.027	0.577	0.029	1.000	0.055	0.096	0.044	0.012	0.000	0.041	0.244	0.006	0.214	0.791	0.098
is_trending_down	0.002	0.002	0.000	0.159	0.093	0.000	0.006	0.350	0.247	0.038	0.006	0.142	0.038	0.179	0.179	0.087	0.178	0.071	0.019	0.262	0.158	0.179	0.055	1.000	0.865	0.429	0.053	0.000	0.452	0.293	0.017	0.917	0.242	0.225
is_trending_up	0.000	0.000	0.003	0.171	0.059	0.000	0.006	0.380	0.235	0.052	0.022	0.168	0.052	0.127	0.127	0.004	0.126	0.060	0.019	0.259	0.177	0.124	0.096	0.865	1.000	0.454	0.054	0.003	0.477	0.330	0.020	1.000	0.149	0.212
log_price	-0.001	-0.001	0.820	-0.002	0.043	0.068	0.015	0.277	-0.198	0.264	0.147	0.104	0.264	0.135	0.135	0.167	0.190	0.119	0.064	0.927	0.084	0.186	0.044	0.429	0.454	1.000	-0.039	1.000	0.995	0.167	0.664	0.500	0.011	0.118
month_sold	-0.002	-0.002	-0.022	-0.002	0.007	0.005	0.002	-0.020	0.076	0.001	0.009	-0.001	0.001	0.071	0.071	0.008	0.044	0.004	1.000	0.036	0.016	0.044	0.012	0.053	0.054	-0.039	1.000	-0.039	-0.040	-0.014	-0.017	-0.021	0.002	0.303
price	-0.001	-0.001	0.820	-0.002	0.043	0.068	0.015	0.277	-0.198	0.264	0.000	0.104	0.264	0.007	0.007	0.032	0.011	0.017	0.000	0.017	0.000	0.011	0.000	0.000	0.003	1.000	-0.039	1.000	0.995	0.167	0.664	0.500	0.011	0.009
price_tier	-0.001	-0.001	0.814	-0.002	0.044	0.069	0.015	0.276	-0.197	0.263	0.143	0.103	0.263	0.126	0.126	0.138	0.178	0.098	0.062	0.937	0.085	0.173	0.041	0.452	0.477	0.995	-0.040	0.995	1.000	0.168	0.660	0.496	0.010	0.123
sale_count_per_card	0.003	0.003	0.261	0.012	0.109	0.294	-0.001	0.856	-0.003	0.036	0.013	0.060	0.036	0.070	0.070	0.098	0.099	0.078	0.012	0.206	0.310	0.098	0.244	0.293	0.330	0.167	-0.014	0.167	0.168	1.000	0.472	-0.011	0.108	0.063
std_price_per_card	-0.001	-0.001	0.857	0.066	0.051	0.159	0.015	0.571	-0.198	-0.008	0.000	0.070	-0.008	0.023	0.023	0.056	0.033	0.045	0.000	0.059	0.009	0.033	0.006	0.017	0.020	0.664	-0.017	0.664	0.660	0.472	1.000	0.541	0.068	0.013
trend_score	-0.006	-0.006	0.611	0.063	-0.038	-0.011	0.009	0.250	-0.264	0.011	0.047	0.069	0.011	0.189	0.189	0.205	0.265	0.192	0.024	0.402	0.319	0.263	0.214	0.917	1.000	0.500	-0.021	0.500	0.496	-0.011	0.541	1.000	0.045	0.149
variety_encoded	-0.005	-0.005	0.026	0.070	0.019	0.040	-0.008	0.181	-0.043	0.011	0.044	0.087	0.011	0.099	0.099	0.353	0.139	0.295	0.009	0.134	0.690	0.139	0.791	0.242	0.149	0.011	0.002	0.011	0.010	0.108	0.068	0.045	1.000	0.076
year_sold	0.006	0.006	0.010	0.079	0.045	0.084	0.056	0.068	0.765	0.083	0.057	0.079	0.083	0.184	0.184	0.050	0.202	0.046	0.166	0.081	0.151	0.196	0.098	0.225	0.212	0.118	0.303	0.009	0.123	0.063	0.013	0.149	0.076	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

	Unnamed: 0.1	Unnamed: 0	year	subject	brand	variety	card_number	date	price	grade	grading_company	card_id	year_sold	month_sold	day_sold	days_since_release	is_holiday_season	brand_encoded	variety_encoded	grading_company_encoded	card_number_len	card_number_numeric	num_subjects	is_gold	is_silver	is_prizm	is_psa	is_bgs	grade_is_high	grade_x_brand	grade_x_year	log_price	is_outlier	price_tier	sale_count_per_card	avg_price_per_card	std_price_per_card	first_sale	last_sale	trend_score	days_between_sales	is_trending_up	is_trending_down
0	0	0	2018	deandre ayton	panini donruss optic	NaN	157	2021-06-22	35.00	9.00	psa	deandre ayton_panini donruss optic_nan_157	2021	6	22	1268	0	171	974	1	3	157	1	0	0	0	1	0	1	1539.00	18162.00	3.58	0	2	212	43.06	26.90	2019-05-04	2022-02-13	-0.34	1016	0	1
1	1	1	2018	luka doncic	panini prizm	silver prizm	280	2019-05-31	465.00	10.00	psa	luka doncic_panini prizm_silver prizm_280	2019	5	31	515	0	354	1517	1	3	280	1	0	1	1	1	0	1	3540.00	20180.00	6.14	0	8	919	2551.20	2922.18	2018-12-16	2022-02-11	0.68	1153	1	0
2	2	2	2018	shai gilgeous-alexander	panini donruss optic	shock	162	2021-10-20	49.00	9.00	psa	shai gilgeous-alexander_panini donruss optic_shock_162	2021	10	20	1388	0	171	1475	1	3	162	1	0	0	0	1	0	1	1539.00	18162.00	3.91	0	3	240	75.88	62.17	2019-04-21	2022-02-10	-0.41	1026	0	1
3	3	3	2018	tim hardaway	panini prizm fast break autographs	gold prizm	28	2019-08-28	45.00	9.50	bgs	tim hardaway_panini prizm fast break autographs_gold prizm_28	2019	8	28	604	0	359	591	0	2	28	1	1	0	1	0	1	1	3410.50	19171.00	3.83	0	2	2	37.49	10.61	2019-06-08	2019-08-28	1.00	81	1	0
4	4	4	2018	lebron james	panini prizm get hyped!	NaN	4	2020-06-26	42.99	10.00	psa	lebron james_panini prizm get hyped!_nan_4	2020	6	26	907	0	363	974	1	1	4	1	0	0	0	1	0	1	3630.00	20180.00	3.78	0	2	58	30.57	14.56	2020-04-13	2022-02-08	-0.19	666	0	1
5	5	5	2018	luka doncic	panini chronicles	NaN	681	2021-07-06	93.00	9.00	psa	luka doncic_panini chronicles_nan_681	2021	7	6	1282	0	59	974	1	3	681	1	0	0	0	1	0	1	531.00	18162.00	4.54	0	4	81	161.07	91.91	2019-11-13	2022-02-09	0.04	819	1	0
6	6	6	2018	deandre ayton	panini prizm	pink ice prizm	279	2020-05-09	75.00	10.00	psa	deandre ayton_panini prizm_pink ice prizm_279	2020	5	9	859	0	354	1087	1	3	279	1	0	0	1	1	0	1	3540.00	20180.00	4.33	0	4	98	123.41	71.15	2019-02-11	2022-02-05	0.56	1090	1	0
7	7	7	2018	luka doncic	panini prizm freshman phenoms	NaN	23	2021-12-28	17.50	8.00	psa	luka doncic_panini prizm freshman phenoms_nan_23	2021	12	28	1457	1	362	974	1	2	23	1	0	0	0	1	0	0	2896.00	16144.00	2.92	0	0	623	102.82	61.31	2019-02-24	2022-02-11	0.19	1083	1	0
8	8	8	2018	luka doncic	panini chronicles	gold	645	2020-08-26	1426.00	9.00	psa	luka doncic_panini chronicles_gold_645	2020	8	26	968	0	59	582	1	3	645	1	1	0	0	1	0	1	531.00	18162.00	7.26	1	9	1	1426.00	0.00	2020-08-26	2020-08-26	0.00	0	0	0
9	9	9	2018	wendell carter jr.	panini prizm rookie signatures	NaN	7	2020-07-04	79.99	10.00	psa	wendell carter jr._panini prizm rookie signatures_nan_7	2020	7	4	915	0	369	974	1	1	7	1	0	0	0	1	0	1	3690.00	20180.00	4.39	0	4	15	88.49	36.33	2020-04-15	2021-11-14	0.40	578	1	0

	Unnamed: 0.1	Unnamed: 0	year	subject	brand	variety	card_number	date	price	grade	grading_company	card_id	year_sold	month_sold	day_sold	days_since_release	is_holiday_season	brand_encoded	variety_encoded	grading_company_encoded	card_number_len	card_number_numeric	num_subjects	is_silver	is_prizm	is_psa	is_bgs	grade_is_high	grade_x_brand	grade_x_year	log_price	price_tier	sale_count_per_card	avg_price_per_card	std_price_per_card	first_sale	last_sale	trend_score	days_between_sales	is_trending_up	is_trending_down
99990	99990	99990	2018	michael porter jr.	panini prizm	red white and blue prizm	32	2020-08-15	381.50	10.00	psa	michael porter jr._panini prizm_red white and blue prizm_32	2020	8	15	957	0	354	1192	1	2	32	1	0	1	1	0	1	3540.00	20180.00	5.95	8	244	135.85	99.33	2019-04-23	2022-02-08	0.06	1022	1	0
99991	99991	99991	2018	luka doncic	panini prizm	silver prizm	280	2019-10-21	380.00	9.50	bgs	luka doncic_panini prizm_silver prizm_280	2019	10	21	658	0	354	1517	0	3	280	1	1	1	0	1	1	3363.00	19171.00	5.94	8	919	2551.20	2922.18	2018-12-16	2022-02-11	0.68	1153	1	0
99992	99992	99992	2018	collin sexton	panini prizm	silver prizm	170	2020-03-28	36.00	9.00	psa	collin sexton_panini prizm_silver prizm_170	2020	3	28	817	0	354	1517	1	3	170	1	1	1	1	0	1	3186.00	18162.00	3.61	2	280	169.61	210.99	2019-02-06	2022-02-09	0.14	1099	1	0
99993	99993	99993	2018	marvin bagley iii	panini prizm freshman phenoms	NaN	24	2020-08-31	17.00	9.50	bgs	marvin bagley iii_panini prizm freshman phenoms_nan_24	2020	8	31	973	0	362	974	0	2	24	1	0	0	0	1	1	3439.00	19171.00	2.89	0	4	17.88	10.43	2020-05-22	2021-06-11	-0.43	385	0	1
99994	99994	99994	2018	lebron james	panini donruss optic	holo	94	2019-09-17	59.88	9.00	psa	lebron james_panini donruss optic_holo_94	2019	9	17	624	0	171	684	1	2	94	1	0	0	1	0	1	1539.00	18162.00	4.11	3	101	515.16	482.14	2019-05-29	2022-01-30	-0.06	977	0	1
99995	99995	99995	2018	monte morris	panini select concourse	tri-color prizm	34	2022-01-10	10.50	9.00	psa	monte morris_panini select concourse_tri-color prizm_34	2022	1	10	1470	0	385	1647	1	2	34	1	0	1	1	0	1	3465.00	18162.00	2.44	0	1	10.50	0.00	2022-01-10	2022-01-10	0.00	0	0	0
99996	99996	99996	2018	luka doncic	panini donruss	NaN	177	2021-09-29	399.00	10.00	psa	luka doncic_panini donruss_nan_177	2021	9	29	1367	0	156	974	1	3	177	1	0	0	1	0	1	1560.00	20180.00	5.99	8	1798	260.68	141.50	2018-12-31	2022-02-11	0.14	1138	1	0
99997	99997	99997	2018	trae young	panini chronicles	bronze	139	2020-10-16	42.00	9.00	psa	trae young_panini chronicles_bronze_139	2020	10	16	1019	0	59	184	1	3	139	1	0	0	1	0	1	531.00	18162.00	3.76	2	5	37.78	28.68	2020-01-15	2022-01-21	-0.29	737	0	1
99998	99998	99998	2018	mitchell robinson	panini prizm	NaN	227	2021-12-12	6.50	10.00	psa	mitchell robinson_panini prizm_nan_227	2021	12	12	1441	1	354	974	1	3	227	1	0	0	1	0	1	3540.00	20180.00	2.01	0	114	29.55	29.25	2019-07-21	2022-02-09	-0.64	934	0	1
99999	99999	99999	2018	devonte' graham	panini prizm	silver prizm	288	2020-02-01	137.95	10.00	psa	devonte' graham_panini prizm_silver prizm_288	2020	2	1	761	0	354	1517	1	3	288	1	1	1	1	0	1	3540.00	20180.00	4.93	6	269	123.83	100.47	2019-07-29	2022-02-09	-0.40	926	0	1

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length